{"id":"W2512591332","doi":"10.1118/1.4961814","title":"Poster ‐ 40: Treatment Verification of a 3D‐printed Eye Phantom for Proton Therapy","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia; TRIUMF","funders":"","keywords":"Proton therapy; Imaging phantom; Radiation treatment planning; Dosimetry; Nuclear medicine; Scanner; Proton; Materials science; Biomedical engineering; Medical physics; Computer science; Radiation therapy; Medicine; Physics; Radiology; Artificial intelligence; Nuclear physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006064716,0.0005232018,0.0001890298,0.0003527134,0.0002232724,0.0006368919,0.000565688,0.0006287915,0.005705718],"category_scores_gemma":[0.001215912,0.0003143088,0.000544761,0.0002059214,0.0002923169,0.0002264242,0.000365726,0.0003681772,0.0008875545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007769761,"about_ca_system_score_gemma":0.0006079693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001229408,"about_ca_topic_score_gemma":0.0009479144,"domain_scores_codex":[0.9997146,0.00004690762,0.00002048136,0.00004243752,0.000152088,0.00002356013],"domain_scores_gemma":[0.9993623,0.0002557403,0.00007894296,0.0001420983,0.0001291034,0.00003169888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001014104,0.0003540688,0.004815816,0.0005577484,0.00009805655,0.001010428,0.0006322026,0.3420852,0.5757515,0.002831397,0.005452641,0.06539682],"study_design_scores_gemma":[0.0001205425,0.0009799482,0.005692321,0.00004494707,0.00006802721,0.0009444476,0.00006239741,0.2701865,0.705022,0.0004592662,0.01631685,0.0001028648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6472241,0.0006830375,0.3173821,0.0005748983,0.0002773983,0.0006858992,0.003321337,0.0064396,0.02341177],"genre_scores_gemma":[0.9096447,0.000144654,0.08159762,0.0001255514,0.00001274062,0.0002367352,0.0009448758,0.0007818653,0.006511295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005705718,"threshold_uncertainty_score":0.01908749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347942114000991,"score_gpt":0.3487222330323539,"score_spread":0.315242811892344,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}